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The Insurance Business Domain Architect role at NTT DATA requires a skilled professional to bridge data-driven insights with business strategy across various sectors. This hybrid role will combine deep technical expertise in data architecture and analytics solutions with a strategic understanding of the business domain to deliver transformative, scalable, and actionable data solutions. The Data & Analytics Business Domain Architect will lead the design and implementation of both business and data architecture strategies, ensuring that data is not only structured and accessible but also aligned with the company's business goals.
Job Responsibility:
Define a comprehensive data strategy that supports key business processes such as claims management, underwriting, risk analysis, and customer lifecycle management, aligning them with business objectives
Architect solutions that integrate data from various business functions (e.g., risk management, financial reporting, fraud detection) to enable more informed decision-making while ensuring compliance with financial regulations (e.g., SOX, Basel III)
Design integrated data solutions for optimizing business processes in production, supply chain, inventory management, and equipment maintenance, ensuring that data supports business continuity and operational excellence
Develop a unified data architecture that supports operational processes related to energy production, distribution, and consumption. Design solutions for predictive maintenance, energy forecasting, and optimization of resources
Work closely with business stakeholders to understand their goals, processes, and pain points, and translate these needs into data architecture and analytics requirements
Ensure the architecture supports business processes such as customer segmentation in insurance, transaction processing in banking, production planning in manufacturing, and load forecasting in energy
Design data flows and structures that enable business units to derive actionable insights and optimize decision-making through data-driven strategies
Implement data analytics solutions for real-time policyholder insights, claims analysis, risk assessment, and predictive modeling for underwriting, fraud detection, and customer churn prediction
Architect solutions that support financial forecasting, portfolio management, and real-time transaction analysis, integrating data from risk management, credit, and fraud departments
Leverage data for business intelligence, enhancing operational efficiency, inventory management, supply chain visibility, and predictive maintenance for critical equipment
Design analytics solutions that integrate operational and sensor data, supporting real-time decision-making for energy distribution, load forecasting, and asset optimization
Lead the design and implementation of seamless integration between enterprise resource planning (ERP) systems, customer relationship management (CRM) tools, and data platforms in your respective domain
Integrate claims management, policyholder, and underwriting data with business processes for more accurate risk assessments and claims predictions
Ensure smooth integration of financial data systems, fraud detection, regulatory compliance reporting, and portfolio management tools with the underlying data architecture
Integrate
Requirements:
Bachelor's degree in Computer Science or Information Technology
At least 8 years of experience in data architecture and analytics
Skilled professional to bridge data-driven insights with business strategy across various sectors
Deep technical expertise in data architecture and analytics solutions
Strategic understanding of the business domain
Hands-on experience designing data solutions
Ensuring alignment with business processes, operational needs, and industry-specific regulations